IP Network-based Multi-agent Systems for Industrial Automation: Information Management, Condition Monitoring and Control of Power Systems

# Publisher: Springer; 1 edition (December 28, 2006)
# Language: English
# ISBN-10: 1846286468
# ISBN-13: 978-1846286469

Book Description

A mobile agent is a software program with the capability to suspend its execution and resume it on another computer. Agents are a relatively recent development in computer science, which have become a popular and useful methodology for the modelling and implementation of distributed systems, particularly those consisting of a number of largely autonomous components. The extensive use of multi-agent systems in various areas including information management, industrial control and manufacturing systems, suggests that the multi-agent systems methodology may also be appropriate for the design of power system automation systems.

IP Network-based Multi-agent Systems for Industrial Automation: Information Management, Condition Monitoring and Control of Power Systems is the first book to present an introduction to the use of the Internet protocol suite and multi-agent systems for the information management, online monitoring and control of distributed power system substations. It proposes an open architecture for information management and control, based on the concepts of multi-agent systems and mobile agents. In this book, mobile agents are applied to the retrieval and analysis of substation data, and to remote operator intervention. This book also describes a prototype implementation of the architecture, in the form of a substation information management system, which has been demonstrated and evaluated using a substation simulator. The architecture is also evaluated theoretically with respect to its performance, modifiability, functionality and reliability.

As mobile agent technologies are in the early stages the real applications of these technologies are rare; IP Network-based Multi-agent Systems for Industrial Automation: Information Management, Condition Monitoring and Control of Power Systems will be an excellent reference for postgraduates, researchers and academics in engineering and computer science, as well as engineers in system automation and managers in distributed industrial systems.


About the Author

Dr. David Buse obtained a first-class BSc degree in Computer Science from Department of Computer Science in 2000 and a PhD degree in Electrical Engineering from Department of Electrical Engineering and Electronics, the University of Liverpool in 2005. He is a Member of IEEE. He has authored and co-authored a number of research papers which were published in academic and engineering journals and he has refereed conference proceedings. His research interests include mobile agents, multi-agent Systems, and their industrial applications.

Professor Henry Wu is the Chair of Electrical Engineering, Department of Electrical Engineering and Electronics, The University of Liverpool, U.K. He is also the Director of the National Instruments e-Automation Laboratory, The University of Liverpool, in which research on network-based industrial automation is focused. He graduated from Huazhong University of Science and Technology (HUST), China, in 1978 and obtained an M.Sc.(Eng) degree in Electrical Engineering from HUST in 1981. Professor Wu is a Chartered Engineer, Fellow of IEE and Senior Member of IEEE. He has served as a committee member of IEE professional groups and on the committees of several international conferences. He has given invited lectures at a number of international conferences and institutions. He has authored and co-authored more than 250 papers published in academic and engineering journals and refereed conference proceedings. He was awarded Donald Julius Groen Prize for the best paper published in Journal of Systems and Control Engineering, Institution of Mechanical Engineers, 1994. Professor Wu’s research interests include Systems Analysis and Control, Computational Intelligence, Biologically-Inspired Modelling and Computation, Information Processing and Management, Distributed Complex Systems, Multi-agent Systems and their applications for power system operation and control.

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